The global recommendation engine market is predicted to grow 37% annually through 2030 (Straits Times). The expertise to predict user preferences and drive engagement using AI recommendation system skills has become an essential business need and a highly sought-after skill using vector databases.
Vector Database Projects: AI Recommendation Systems
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Vector Database Projects: AI Recommendation Systems
This course is part of Vector Database Fundamentals Specialization
Instructors: IBM Skills Network Team
Included with
Gain insight into a topic and learn the fundamentals.
4.5
(13 reviews)
Intermediate level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Job-ready proficiency with AI-powered database recommendation systems that you can immediately put to work and highlight on LinkedIn.
How to use Hugging Face natural language processing (NLP) tools, embeddings, and PDF classification skills for similarity search.
Build a real-world food search recommendation system using a Hugging face model and algorithms with Chroma DB.
Implement a customized real-world NLP job search vector database recommendation system using your choice of vector database platform.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Vector Database Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
In this module, you will learn about Hugging Face, a growing, open-source AI community. You will learn about several of their crowd-sourced NLP models and how to incorporate them into your projects. This module also includes a practice project, a non-graded project that provides you with step-by-step instructions for building a recommendation system similar to the final project.
What's included
2 videos2 readings3 app items3 plugins
In this module, you will work on the final, graded project independently and will be graded by one of your peers. You will also evaluate one of your peers’ projects using a rubric with objective grading criteria. The project has two parts: in Part 1, you’ll build a job recommendation system that returns the top five results based on a text search; in Part 2, you’ll create a food recommendation system that performs a similar task using a PDF as input. Finally, you will have the opportunity to demonstrate your comprehension of the final project by completing a graded quiz.
What's included
2 readings1 assignment1 peer review1 app item1 plugin
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.